def test_conversions(self):
#Converting to other format and back to S-parameters should return the original network
for test_z0 in (50, 10, 90+10j, 4-100j):
for test_ntwk in (self.ntwk1, self.ntwk2, self.ntwk3):
ntwk = rf.Network(s=test_ntwk.s, f=test_ntwk.f, z0=test_z0)
npy.testing.assert_allclose(rf.a2s(rf.s2a(ntwk.s, test_z0), test_z0), ntwk.s)
npy.testing.assert_allclose(rf.z2s(rf.s2z(ntwk.s, test_z0), test_z0), ntwk.s)
npy.testing.assert_allclose(rf.y2s(rf.s2y(ntwk.s, test_z0), test_z0), ntwk.s)
npy.testing.assert_allclose(rf.h2s(rf.s2h(ntwk.s, test_z0), test_z0), ntwk.s)
npy.testing.assert_allclose(rf.t2s(rf.s2t(ntwk.s)), ntwk.s)
npy.testing.assert_allclose(rf.t2s(rf.s2t(self.Fix.s)), self.Fix.s)
def test_conversions(self):
#Converting to other format and back to S-parameters should return the original network
tinyfloat = 1e-11
for test_z0 in (50, 10, 90+10j, 4-100j):
for test_ntwk in (self.ntwk1, self.ntwk2, self.ntwk3):
ntwk = rf.Network(s=test_ntwk.s, f=test_ntwk.f, z0=test_z0)
self.assertTrue((abs(rf.a2s(rf.s2a(ntwk.s, test_z0), test_z0)-ntwk.s) < tinyfloat).all())
self.assertTrue((abs(rf.z2s(rf.s2z(ntwk.s, test_z0), test_z0)-ntwk.s) < tinyfloat).all())
self.assertTrue((abs(rf.y2s(rf.s2y(ntwk.s, test_z0), test_z0)-ntwk.s) < tinyfloat).all())
self.assertTrue((abs(rf.t2s(rf.s2t(ntwk.s))-ntwk.s) < tinyfloat).all())
self.assertTrue((abs(rf.t2s(rf.s2t(self.Fix.s))-self.Fix.s) < tinyfloat).all())
def test_conversions(self):
#Converting to other format and back to S-parameters should return the original network
tinyfloat = 1e-12
for test_z0 in (50, 10, 90+10j, 4-100j):
for test_ntwk in (self.ntwk1, self.ntwk2, self.ntwk3):
ntwk = rf.Network(s=test_ntwk.s, f=test_ntwk.f, z0=test_z0)
self.assertTrue((abs(rf.a2s(rf.s2a(ntwk.s, test_z0), test_z0)-ntwk.s) < tinyfloat).all())
self.assertTrue((abs(rf.z2s(rf.s2z(ntwk.s, test_z0), test_z0)-ntwk.s) < tinyfloat).all())
self.assertTrue((abs(rf.y2s(rf.s2y(ntwk.s, test_z0), test_z0)-ntwk.s) < tinyfloat).all())
self.assertTrue((abs(rf.t2s(rf.s2t(ntwk.s))-ntwk.s) < tinyfloat).all())
self.assertTrue((abs(rf.t2s(rf.s2t(self.Fix.s))-self.Fix.s) < tinyfloat).all())
def test_conversions(self):
#Converting to other format and back to S-parameters should return the original network
s_random = npy.random.uniform(-10, 10, (self.freq.npoints, 2, 2)) + 1j * npy.random.uniform(-10, 10, (self.freq.npoints, 2, 2))
ntwk_random = rf.Network(s=s_random, frequency=self.freq)
for test_z0 in (50, 10, 90+10j, 4-100j):
for test_ntwk in (self.ntwk1, self.ntwk2, self.ntwk3, ntwk_random):
ntwk = rf.Network(s=test_ntwk.s, f=test_ntwk.f, z0=test_z0)
npy.testing.assert_allclose(rf.a2s(rf.s2a(ntwk.s, test_z0), test_z0), ntwk.s)
npy.testing.assert_allclose(rf.z2s(rf.s2z(ntwk.s, test_z0), test_z0), ntwk.s)
npy.testing.assert_allclose(rf.y2s(rf.s2y(ntwk.s, test_z0), test_z0), ntwk.s)
npy.testing.assert_allclose(rf.h2s(rf.s2h(ntwk.s, test_z0), test_z0), ntwk.s)
npy.testing.assert_allclose(rf.t2s(rf.s2t(ntwk.s)), ntwk.s)
npy.testing.assert_allclose(rf.t2s(rf.s2t(self.Fix.s)), self.Fix.s)
#----------------------------------------------------------
S_75 = Network("C:/Users/SH/PycharmProjects/Course_Python_Django/SP/Two_ports/Reference_75_DUT.s2p")
Cascade = Network("C:/Users/SH/PycharmProjects/Course_Python_Django/SP/Two_ports/Cascade_D_A_D.s2p")
Attenuator = Network("C:/Users/SH/PycharmProjects/Course_Python_Django/SP/Two_ports/Attenuator_9db.s2p")
F = S_75.f[:]
#----------------------------------------------------------
#Conversion and calculations
#----------------------------------------------------------
Cascade_t = rf.s2t(Cascade.s)
Attenuator_t = rf.s2t(Attenuator.s)
Matrix = np.zeros((len(Cascade_t), 2, 2), complex)
for i in range(len(Cascade_t)):
Value_1 = Cascade_t[i]@Attenuator_t[i]
Value_2 = linalg.sqrtm(Value_1)
Value_3 = [email protected](Attenuator_t[i])
Matrix[i, 0, 0] = Value_3[0, 0]
Matrix[i, 1, 0] = Value_3[1, 0]
Matrix[i, 1, 1] = Value_3[1, 1]
Matrix[i, 0, 1] = Value_3[0, 1]
